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What is Oracle Data Miner?

Oracle Data Miner enables data scientists, "citizen data scientists," and both business and data analysts to engage with data directly within the database using a user-friendly graphical interface that features a "drag and drop" workflow editor. As an enhancement to Oracle SQL Developer, Oracle Data Miner (ODMr) adeptly captures and visually presents the analytical steps that users undertake while exploring data and developing machine learning models. The workflows established using ODMr are crucial for not only reapplying analytical techniques but also for fostering knowledge exchange among team members. Additionally, ODMr generates SQL and PL/SQL scripts seamlessly and offers a workflow API that aids in the efficient deployment of models throughout the organization. This capability significantly reduces data movement, ensures scalability for large datasets, upholds security, and accelerates the transition from model creation to implementation. By adopting this advanced methodology, organizations can better leverage their data resources, ultimately resulting in smarter decision-making and enhanced business performance. Furthermore, this systematic approach helps to create a culture of data-driven insights that can transform strategic initiatives.

What is AlertMiner?

We convert your data into meaningful insights that drive action. AutoAlert’s platform forecasts customer behavior, identifying those poised for an immediate upgrade. AlertMiner aggregates a wide range of customer metrics into a unified summary, which helps in developing an effective engagement strategy. The predictive analytics scoring system emphasizes your best opportunities, while clear alerts clarify the reasoning behind these insights. Additionally, dynamic phone scripts optimize the calling process, improving overall efficiency. As a trailblazer in the automotive industry, AutoAlert introduced the first Customer Experience Management (CXM) Platform and continues to spearhead innovation in automotive intelligence software. AlertMiner reveals which customers are most likely to make a purchase today, thereby maximizing profitability for car dealerships. The AutoAlert platform is designed for intuitive use across all dealership departments, promoting collaboration around data to enhance both sales and service opportunities, and ensuring a seamless customer experience. With a strong dedication to cutting-edge data-mining solutions, AutoAlert not only bolsters customer relationships but also fosters loyalty, reinforcing its status as an industry frontrunner. By leveraging sophisticated analytics and insights, AutoAlert enables dealerships to not only meet challenges but thrive in a competitive market landscape. This approach ultimately allows dealerships to create personalized experiences that resonate with customers, further solidifying their market presence.

Media

Media

Integrations Supported

Volie
mScanAPI®

Integrations Supported

Volie
mScanAPI®

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/database/technologies/datawarehouse-bigdata/dataminer.html

Company Facts

Organization Name

AutoAlert

Company Location

United States

Company Website

www.AutoAlert.com

Categories and Features

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Categories and Features

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

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